Search Results (265)

Against the backdrop of increasingly frequent extreme weather events and heightened market price volatility, investigating the relationship between agricultural insurance and farmers’ livelihood resilience is crucial for ensuring rural socioeconomic stability. This study utilizes field survey data from 1196 households across twelve county-level divisions (three cities and nine counties) from China’s Hainan and Yunnan provinces, specifically in natural rubber-producing regions. Using propensity score matching (PSM), we empirically examine agricultural insurance’s impact on household livelihood resilience. The results demonstrate that agricultural insurance increased the effect on farmers’ livelihood resilience by 1%. This effect is particularly pronounced among recently poverty-alleviated households and large-scale farming operations. Furthermore, the analysis highlights the mediating roles of credit availability, adoption of agricultural production technologies, and production initiative in strengthening insurance’s positive impact. Therefore, policies should be refined and expanded, combining agricultural insurance with credit support and agricultural technology extension to leverage their value and ensure the sustainable development of farm households. Full article

The transition toward integrated urban–rural development represents a complex socio-technical challenge in post-poverty alleviation China. This study examines how the reform of agricultural service systems—especially the rollout of full-process socialization services—reshapes urban–rural integration by embedding new institutional, technological, and organizational structures into rural production. Drawing on staggered provincial pilot programs, we apply a double machine learning framework to assess the causal impact of service reform on the urban–rural income gap, labor reallocation, and agricultural productivity. Results show that agricultural socialization services enhance systemic efficiency by reducing labor bottlenecks, increasing technology diffusion, and fostering large-scale coordination in agricultural operations. These effects are most pronounced in provinces with stronger institutional capacity and higher levels of mechanization. The findings highlight agricultural service reform as a systemic intervention that alters resource allocation logics, drives institutional change, and fosters structural convergence across urban and rural domains. This research contributes to the understanding of agricultural modernization as a systems-engineered solution for regional inequality. Full article

Rural post-poverty alleviation areas are not on a solid developmental footing and therefore remain at risk of returning to poverty in the midst of rapid urbanization. Vulnerability assessment of socio-ecological systems is critical for identifying risks and enhancing resilience in rural areas transitioning out of poverty. Based on research data from 2012, 2017, and 2022 in the post-poverty alleviation areas of Hunan Province, this research establishes a Vulnerability-Scoping-Diagram (VSD) assessment framework for rural development vulnerability and Spatially-Explicit-Resilience-Vulnerability (SERV) analysis model from a socio-ecological system perspective. It comprehensively analyzes the spatial and temporal variations of the Rural Development Vulnerability Index (RDVI) in the study area. Geodetector is used to explore the main factors influencing the spatial and temporal variability of RDVI, and vulnerability type zones are classified by combining the dominant elements method. The findings indicate that: (1) The rural development vulnerability index of post-poverty alleviation areas in Hunan Province has obvious characteristics of spatial and temporal differentiation. The RDVI in western Hunan and southern Hunan is always high, while the RDVI in ChangZhuTan and Dongting Lake regions decreases year by year. (2) The RDVI of post-poverty alleviation areas in Hunan Province is determined by the three dimensions of exposure, sensitivity, and adaptability, exhibiting significant spatial and temporal variations. (3) Spatial autocorrelation analysis showed that areas with similar rural socio-ecological vulnerability in post-poverty alleviation areas of Hunan Province were significantly clustered spatially. (4) The core influencing factors of RDVI in Hunan’s post-poverty alleviation areas have shifted from natural disaster risk to multiple risk dimensions encompassing social resource load and ecological environment risk superimposition, resulting in more complex and diversified influencing factors. (5) By combining results from the RDVI assessment with the dominant elements method, the regions can be classified into multiple vulnerability type districts dominated by multiple elements or single-element dominance, leading to corresponding development suggestions. The study aims to examine the process of changes in vulnerability within rural development in post-poverty alleviation areas and its causal factors from a socio-ecological system perspective. This will provide a foundation for policy formulation to consolidate the results of post-poverty alleviation and promote the sustainable development of rural areas. Full article

Climate risk has emerged as a pressing global challenge, significantly undermining livelihood capital, income stability, and living standards among vulnerable populations. Leveraging balanced panel data from the China Household Finance Survey (CHFS) spanning 2013–2019, this study employs a binary Logit fixed-effects model to examine how climate change risk affects farm households’ multidimensional relative poverty, with particular attention to the moderating role of digital financial inclusion. The findings demonstrate that climate change risk significantly exacerbates multidimensional relative poverty among farm households, while digital inclusive finance effectively mitigates these adverse impacts. Notably, subdimensional analysis reveals that the depth of digital financial usage exerts the strongest influence. In addition, there is heterogeneity in this moderating effect, with digital inclusive finance having a more significant mitigating effect on multidimensional relative poverty in rural households in the central region, with middle and higher incomes, as well as with high digital literacy. This study provides valuable insights into the use of financial instruments to mitigate climate risks, improve the climate resilience of rural populations, and strengthen multidimensional approaches to poverty governance. Full article

Common prosperity is the fundamental driving force of rural revitalization, as well as the foundation for achieving sustainable economic development. The e-commerce to the countryside policy has energized the rural economy, helping to improve household economic resilience and reduce income stratification, thereby promoting the inclusive and sustainable development of the digital economy. Drawing on panel data collected from rural fixed observation points in Henan Province during 2009–2022, this study employs a staggered difference-in-differences (DID) approach to evaluate the impact of China’s e-commerce to the countryside policy on farmers’ income and income inequality. The empirical results reveal that the rural e-commerce policy significantly increases farmers’ income while mitigating income inequality. The underlying mechanisms function through three synergistic pathways: industrial structural upgrading, manifested through tri-sector integration driven by rural enterprise development; factor allocation restructuring, evidenced by productivity gains from optimized labor–capital reallocation; and enhanced market inclusion through digital technology empowerment that lowers participation barriers. Heterogeneity analysis indicates that the e-commerce to the countryside policy exhibits pro-poor characteristics, with its income-enhancing and equalizing effects being particularly pronounced in agricultural areas, traditional villages, county-level civilized villages, underdeveloped regions, registered poverty-stricken villages, and households with low human, physical, and financial capital endowments. These findings confirm the inclusive development efficacy of rural e-commerce among vulnerable populations. Consequently, the study provides a replicable policy implementation framework for achieving common prosperity objectives. Full article

Quantitatively measuring the poverty vulnerability level of rural households in mountainous areas and the factors influencing the poverty vulnerability level is significant for China to consolidate the existing poverty alleviation achievements and prevent farmers in mountainous areas from falling back into poverty in the future. This study selects the upper reaches of the Min River, a typical poor mountainous area, as the research area and decomposes poverty vulnerability into two dimensions: consumption level and consumption fluctuation. Based on microsurvey data, this paper uses an econometric model to measure the poverty vulnerability of farmers who lived in the upper reaches of the Min River in 2023 and analyses its influencing factors. The results show that Edu, Laborer, and Land significantly impact rural households’ per capita consumption level in the future. Agri-shock, in terms of homogeneous risk, and Hea-shock and Hou-shock, in terms of heterogeneous risk, significantly impact rural households’ future consumption variance. Deposit weakens the poverty vulnerability caused by homogeneous risk (Agri-shock). Physicap and M can reduce the poverty vulnerability caused by homogeneous risks and heterogeneous risks. The research results have important practical significance for the establishment of risk and vulnerability early warning mechanisms in the new poverty alleviation strategy in the upper reaches of the Min River and other contiguous poverty areas and have important strategic guiding significance for the sustainable development of rural areas. Full article

Digital inclusive finance (DIF) is regarded as a key instrument in poverty alleviation efforts. However, existing research reveals significant gaps in understanding its poverty-reduction impact: the debate on its inclusivity remains unresolved, its mechanisms of action are unclear, and the psychological empowerment dimension has been largely overlooked. Using micro-level data from seven waves of the China Family Panel Studies (CFPS) from 2010 to 2022, this study employs fixed-effect models, quantile regression models, and mechanism analysis to explore the differentiated impact of digital inclusive finance on rural multidimensional relative poverty and the mechanisms at play. The empirical findings reveal that DIF significantly mitigates multidimensional relative poverty, with more pronounced marginal effects among the poorest households, confirming its pro-poor characteristics. Heterogeneity analysis reveals that, at the regional level, DIF has greater impacts in western regions and remote rural areas farther from county centers; at the individual level, it is particularly effective for women, those with lower education, and individuals with limited digital literacy. Mechanism analysis shows that DIF operates through three channels: promoting employment, encouraging entrepreneurship, and enhancing financial accessibility. Moreover, extended analysis demonstrates that DIF also fosters the endogenous motivation of rural households to escape poverty, as reflected in heightened confidence about the future, increased belief in social mobility and returns of work, and reduced perceived barriers to employment. These findings provide new micro-level evidence to unpack the poverty-alleviation potential of DIF. Full article

Rural tourism has become a key driver of rural revitalization in China, contributing to poverty alleviation while also irreversibly altering the spatial evolution of rural settlements. In the ecologically fragile regions of northwest China, the rapid expansion of rural tourism destinations has raised ecological concerns, particularly regarding land resource utilization. Therefore, it is crucial to examine the phenomenon of industrial agglomeration in the evolution of rural tourism within the context of tourism-driven poverty alleviation. This study uses Lanzhou City as a case study and employs nearest neighbor analysis and kernel density estimation to analyze the spatial agglomeration patterns of rural tourism destinations, focusing on agglomeration forms, scales, and patterns. Additionally, it explores the spatial coupling distribution between agglomeration levels and influencing factors. The results show that from 1987 to 2022, the development of rural tourism destinations in Lanzhou City has progressed through several stages, from initial emergence to rapid growth. The form of industrial agglomeration has shifted from a dispersed to a clustered distribution, gradually expanding from urban centers to peripheral areas. The spatial agglomeration follows a multi-core hierarchical point-axial diffusion model, forming multiple core and sub-core agglomeration zones of varying scales. This transformation is primarily driven by geographical factors, transportation accessibility, and the presence of high-quality tourist attractions. However, a comparison of land use changes and ecological vulnerability indices over multiple periods indicates that the industrial agglomeration of rural tourism has led to irregular land use patterns and ecosystem instability. Finally, based on the complex relationship between rural tourism development, industrial agglomeration, and ecological sustainability, this study proposes strategies for the development of rural tourism in Lanzhou City, with the aim of providing valuable insights for the development of rural tourism in ecologically fragile regions of China. Full article

Against the backdrop of the rural revitalization strategy after poverty alleviation in China, this paper takes the Dianfanghe community in Zhaochuan Town, Shangnan County, Shangluo City, Shaanxi Province as the research object and explores the role of universities in constructing a mechanism to prevent poverty reversion. A mixed-methods approach was adopted for 646 households, combining field surveys, household surveys, and spatial analysis to identify key vulnerabilities. The study found that there are five dimensions of the risk of poverty reversion in the community after poverty alleviation: unbalanced human structure, fragile physical capital, constraints of the natural environment, single source of income, and weak social capital. To address these risks, a three-party collaborative monitoring mechanism involving the government, universities, and society was proposed, which effectively enhanced the community’s risk resistance ability. This model provides a replicable paradigm for universities’ participation in consolidating poverty alleviation achievements in the new era and has important reference value for similar mountainous communities. Full article

The vast urban–rural income gap (URIG) is a global challenge, particularly severe in underdeveloped regions. While the income-generating effects of transportation improvements are widely accepted, their income distribution effects remain controversial. This study focuses on national poverty-alleviated counties in central and western China, using a mixed-methods approach to quantitatively test the non-linear relationship between highway improvements and the URIG and qualitatively analyze the reasons behind the threshold effects of regional economic development levels. The main findings are as follows: first, regional economic development levels exhibit a double-threshold effect, with the impact of highway improvements shifting from widening to narrowing the URIG after surpassing the second thresholds. Second, inter-regional highways have a limited impact on narrowing the URIG, while intra-regional highways significantly reduce the URIG once crossing their thresholds, reflecting the distinct functions of different highway classes. Third, the heterogeneity analysis reveals that the impact of highway improvements on the URIG varies depending on the external environment surrounding residents, including both the indirect and direct environments. Fourth, from the perspective of rural labor transfer to non-farm employment, regional economic development levels create threshold effects in two ways: for local employment, they influence non-agricultural industry growth and job distribution following highway improvements, affecting rural laborers’ participation; for migrant employment, they impact human capital investment, influencing rural laborers’ skills and wage returns after highway improvements. Full article

In order to contribute to the body of knowledge on sustainable poverty reduction by exploring the relationship between rural and structural transformations and rural poverty incidence in Asian developing countries, this paper selected China, the Philippines, and Vietnam as case studies. Based on a comparison with the provincial data from those three countries, both the graphic and regression analysis suggest that structural and rural transformations matter in rural poverty reduction in these three countries. There is strong evidence showing that raising the share of non-agricultural GDP and the share of rural off-farm employment significantly contributes to rural poverty reduction in all three countries. More importantly, with the expansion of the non-farm sectors in both urban and rural areas, high-value agricultural share has a statistically significant and negative correlation with rural poverty in China and Vietnam over time, while such a negative correlation is much weaker or even does not exist in the Philippines. This paper further concludes with several implications for policymakers to promote inclusive structural and rural transformations. Full article

This paper looks into the impact of China’s new rural land reform, the three rights separation policy (TRSP), on Chinese farmers’ income. Based on data collected from 360 rural households in Anhui Province, China, 2021, this paper constructed the influence pathways of the TRSP on household income and estimated the effects along different pathways using the structural equation model (SEM) model. It showed that through expanding the planting scale and promoting resource-use efficiency, the new land tenure system can indirectly increase transfer-in household income. However, the TRSP has a significant negative direct effect on transfer-out households’ income, and only a slight impact on transferring rural labor to other industries or relaxing the liquidity constraint. In short, the TRSP’s effect on income gains is more prominent in transfer-in households than transfer-out ones, which in the long run would lead to an increased income gap, more so if transfer-out households lack easy access to non-farm employment. Our findings suggest that public authorities should respect farmers’ autonomy in land transfer decisions and pay special attention to labor transfer in poverty alleviation. Meanwhile, widening income disparities among different groups should be heeded while implementing local governments’ service roles. Full article

This systematic review evaluates China’s Rural Revitalization Policy, focusing on sustainable agriculture, food security, and poverty alleviation initiatives from 2010 to 2024. The study addresses critical gaps in understanding how these combined efforts impact long-term food security and ecological sustainability in impoverished areas, moving beyond the short-term outcomes often emphasized in existing literature. Following the PRISMA 2020 guidelines, we reviewed 33 peer-reviewed publications from the Web of Science and Scopus databases, employing bibliometric analyses in RStudio to assess citation patterns, collaboration networks, and thematic evolution. Our analysis reveals significant progress across three interconnected domains. First, poverty alleviation initiatives achieved a 12.3% reduction in rural poverty through integrated agricultural modernization and targeted support programs. Second, agricultural productivity increased by 9.8% through technological integration and sustainable farming practices, strengthening food security outcomes. Third, environmental sustainability improved notably, with a 15.7% increase in clean water access, demonstrating a successful balance between economic growth and ecological protection. China emerged as the largest contributor (15.2%) to research in this field, with substantial international collaboration (42.4% of publications involving cross-border co-authorship). Despite these achievements, significant regional disparities persist, particularly between eastern and western regions, where targeted interventions are needed. The findings highlight the need for regionally tailored approaches: eastern regions require focus on sustainable intensification, western regions need fundamental infrastructure development, and central regions would benefit from strengthened urban–rural linkages. This study provides valuable insights for policymakers and researchers working on rural development initiatives while identifying areas requiring further research, particularly in long-term sustainability assessments and climate resilience strategies. Full article

Promoting the sustainable development of agriculture is the basis of reducing the poverty rate, ensuring food security, and promoting common prosperity. In order to explore the impact of industrial capital and commercial capital on the sustainable development of agriculture, this paper starts from the perspective of agriculture and conducts empirical tests based on the panel data of 30 provinces in China (except Tibet) from 2013 to 2022, using the fixed-effect model and spatial spillover effect model. The results included the following: (1) industrial capital and commercial capital can significantly promote the sustainable development of agriculture, and this conclusion was still valid after endogenous test and robustness test; (2) a heterogeneity test showed that industrial capital and commercial capital has a stronger role in promoting the sustainable development of agriculture in non-major grain producing areas, areas with high marketization level and central and western regions; (3) the test of the transmission mechanism showed that industrial capital and commercial capital can promote the sustainable development of agriculture by optimizing agricultural production conditions, improving rural environment and promoting farmers’ poverty reduction and common prosperity; (4) further research showed that industrial and commercial capital has a positive spillover effect on the sustainable development of agriculture in neighboring areas while promoting the sustainable development of agriculture in this region. Based on the above conclusions, this paper puts forward some countermeasures and suggestions, such as improving rural infrastructure construction, strengthening efforts to guide industrial and commercial capital to the countryside, and paying attention to the differentiation of industrial and commercial capital investment development. Full article

Background: The wine industry in arid area serves as a crucial livelihood source at the frontiers of anti-desertification and anti-poverty. By making use of a carbon footprint (CF) management system, formerly untapped climate values can be explored, embedded, and cherished to connect rural communities with the global goals of sustainable development. However, the current standards of CF management mainly represent the traditional wine grape growing areas of Europe, Oceania, and North America. Limited study of the arid areas in lower-income regions exists, which offers a kind of potential development knowledge regarding creating climate-related livelihoods. Methods: This paper attempts to construct a cradle-to-gate CF Life Cycle Assessment (LCA) framework based on the prominent emission factors in three GHG emission phases (raw material input, planting management, and transportation) of a wine grape variety, Cabernet Sauvignon (chi xia zhu), planted at the Eastern Foothills of the Helan Mountains in the Ningxia Hui Autonomous Region of China. Results: It is found that viticulture processes (instead of wine-making, bottling, or distribution) account for a larger proportion of GHG emissions in Ningxia. Due to the large amount of irrigation electricity usage, the less precipitation wine producers have, the larger CF they produce. By using organic fertilizer, the CF of Ningxia Cabernet Sauvignon, being 0.3403 kgCO₂e/kg, is not only lower than that of the drier areas in Gansu Province (1.59–5.7 kgCO₂e/kg) of Western China, but it is even lower than that of the Israel Negev Region (0.342 kgCO₂e/kg) that experiences more rainfall. Conclusions: The measurement of CF also plays a role in understanding low-carbon experience sharing. As the largest wine grape production area in China, CF analysis of the Ningxia region and its commercial value realization might practically fill in the knowledge gap for desert areas in developing countries. It is inspiring to know that by applying green agricultural technologies, the viticulture CF can be effectively reduced. For the potential exchanges in global carbon markets or trading regulations under the Carbon Border Adjustment Mechanism (CBAM), positive variations in CF and soil organic carbon (SOC) storage volume need to be considered within financial institutional design to lead to more participation toward SDGs. Full article